Image Classification
Transformers
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results (legacy)
Instructions to use judith0/classification_INE_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use judith0/classification_INE_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="judith0/classification_INE_v2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("judith0/classification_INE_v2") model = AutoModelForImageClassification.from_pretrained("judith0/classification_INE_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 349abc58523dfac27bb541fb8b5efc8ee98078b3753708cf6383ff02887c2ea7
- Size of remote file:
- 4.6 kB
- SHA256:
- d5a248210b07352964239b34b9f66945c684bb182bf0ae1215a354534a5a0d95
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